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Machine learner optimization of atom loading in optical nanofiber evanescent dipole traps

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Abstract

We use an online machine learning algorithm to optimize cooling and loading of rubidium-87 atoms into an evanescent dipole trap array along an optical nanofiber, increasing the number of trapped atoms by 50%.

© 2022 The Author(s)

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